{"id":"W4410532587","doi":"10.1016/j.actbio.2025.05.024","title":"Muscle-specific acellular ECM fibers made with anchored cell sheet engineering support regeneration in rat models of volumetric muscle loss","year":2025,"lang":"en","type":"article","venue":"Acta Biomaterialia","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"St Joseph's Health Centre; Natural Sciences and Engineering Research Council of Canada","funders":"Robarts Research Institute; Western University","keywords":"Extracellular matrix; Regeneration (biology); Regenerative medicine; Tissue engineering; Skeletal muscle; Basement membrane; Fibrosis; Decellularization; Muscle tissue; Materials science; Biomedical engineering; Pathology; Medicine; Anatomy; Cell biology; Stem cell; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002417148,0.0002814615,0.0005287082,0.0006869909,0.00003502398,0.00002610729,0.0001292054,0.0001677158,0.00009917031],"category_scores_gemma":[0.00002261371,0.0002292196,0.00005845368,0.001005086,0.00006145991,0.000124931,0.00003940445,0.0001102749,0.00000513573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001297894,"about_ca_system_score_gemma":0.00008316738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008111544,"about_ca_topic_score_gemma":0.000005004246,"domain_scores_codex":[0.9984937,0.00003672034,0.0004817653,0.0003871926,0.0002622988,0.00033835],"domain_scores_gemma":[0.9992381,0.00002101432,0.00009589614,0.000447336,0.00008829382,0.0001093699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001124911,0.0001101362,0.0003071919,0.0003981293,0.00003726377,0.00009272037,0.0003691906,0.004118191,0.9904556,0.0001287737,0.003382854,0.000487499],"study_design_scores_gemma":[0.002996313,0.0003613426,0.005737494,0.000405847,0.0000797797,0.00001630121,0.00009204484,0.01367655,0.9615257,0.00000783114,0.01484216,0.0002586299],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879353,0.001897367,0.007416066,0.0004432875,0.001651518,0.000437619,0.0000180204,0.0001024542,0.00009836783],"genre_scores_gemma":[0.9927956,0.0001805545,0.00331031,0.00001764682,0.0002368664,0.00003229644,0.0001899284,0.00004549346,0.003191242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02892985,"threshold_uncertainty_score":0.9347304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169040263741233,"score_gpt":0.2175038642937164,"score_spread":0.205813461656304,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}